Vietnamese News Articles for Multi-Class Text Classification, 1.3 Million Articles

Approximately 1.3 million Vietnamese news articles collected from major online news portals. Curated by NamSyntax, this dataset is structured similarly to the AG News dataset and covers 11 topics including current affairs, sports, technology, and entertainment. The dataset page was last updated on 2026-01-13 04:36:06.

Use Cases

• Train a Vietnamese news topic classifier based on the 11 described categories.
• Benchmark NLP model performance on Vietnamese text using a dataset structured like AG News.
• Analyze topic distribution and language patterns across major Vietnamese news portals.

Strengths

• Contains approximately 1.3 million articles, providing substantial volume for model training.
• Covers 11 distinct topics, enabling multi-class classification experiments.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-01-13 04:36:06; freshness should be verified.

Provenance

Source

Major online Vietnamese news portals.

Collection Method

Collected and curated by NamSyntax.

Freshness

2026-01-13 04:36:06

Geography

Vietnam